Product Designer
π Job Overview
Job Title: Product Designer
Company: Universe
Location: Ukraine
Job Type: FULL_TIME
Category: Product Design / UX/UI Design
Date Posted: 2026-06-11
Experience Level: 2-5 Years
Remote Status: Hybrid (with office options in Kyiv or Warsaw)
π Role Summary
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Product Ownership: Drive the end-to-end design process for web funnels, web platforms, and mobile applications, with a focus on impacting key business metrics such as Conversion Rate (CR), Customer Acquisition Cost (CAC), and Payback Period.
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AI-First Integration: Champion and integrate AI-first methodologies and tools into the entire design workflow, from research and ideation to prototyping and analytics, fostering an AI-centric approach within the product development lifecycle.
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Metric-Driven Design: Design and iterate on user experiences for retention, monetization, and growth initiatives, leveraging data insights and hypothesis-driven product experiments to achieve target business outcomes.
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Design System Scalability: Own and evolve the design system, ensuring its components, tokens, and variants provide a scalable and consistent foundation for product growth and the introduction of new verticals.
π Enhancement Note: The role is explicitly looking for a "Product Designer" with a strong emphasis on business impact and AI integration, rather than a purely visual or UI designer. The career trajectory towards "Product Design Lead" suggests a strategic, ownership-driven role with potential for team building.
π Primary Responsibilities
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Design, iterate, and optimize web funnels and web platforms with a direct focus on improving CR, CAC, and payback periods.
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Develop and refine mobile-first UX for iOS and Android, ensuring a seamless and engaging primary product experience for millions of users.
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Lead product experiments from hypothesis generation through design, A/B testing, analysis, and iteration to drive retention, monetization, and growth.
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Integrate AI tools (e.g., ChatGPT, Claude, Midjourney, Figma AI, v0) into daily design workflows for research, variant generation, copywriting, illustration, prototyping, and user analytics.
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Manage and expand the company's design system, ensuring its scalability and consistency across all product touchpoints.
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Collaborate closely with product managers, growth specialists, and engineers as an equal partner, contributing to strategic decision-making and problem-solving.
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Proactively identify hypotheses and propose design solutions to drive product improvements and business objectives.
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Take increasing ownership of the product design function, with a long-term view towards building and leading a design team.
π Enhancement Note: The responsibilities highlight a deep involvement in the entire product development lifecycle, from ideation to metric analysis, with a strong emphasis on experimentation and AI integration. The expectation is for the designer to be a strategic partner rather than just an executor of design tasks.
π Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, or a related field is often preferred for roles requiring a strong understanding of design principles and user research.
Experience: 2+ years of hands-on experience in product design, with a proven track record in either web or mobile application design.
Required Skills:
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Product Design Expertise: 2+ years of experience in product design for web and/or mobile applications.
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Business & Product Acumen: A strong understanding that design directly impacts business metrics (CR, CAC, LTV, ROI, retention) and the ability to design user experiences to achieve these.
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A/B Testing Proficiency: Experience with or a strong understanding of A/B testing methodologies and their application in validating design hypotheses.
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Figma Mastery: Expert-level proficiency in Figma, including the creation and management of components, design systems, design tokens, and variants.
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AI-First Mindset (Must-Have): Demonstrated integration of AI tools (e.g., ChatGPT, Claude, Midjourney, Figma AI, v0) into daily design workflows. Enthusiasm for promoting AI-first practices within the team.
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Visual Design Skills: A strong aesthetic sense, meticulous attention to detail, and a passion for high-quality visual design.
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Agile Design Approach: Ability to balance the pursuit of design perfection with the need for rapid deployment and iterative improvement, understanding when each approach is most appropriate.
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Problem-Solving & Hypothesis-Driven: A proactive mindset that brings hypotheses and proposed solutions, rather than waiting for direction.
Preferred Skills:
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Experience in consumer mobile applications with significant scale, or with Web2App funnels.
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Proficiency in motion design or advanced prototyping for complex interaction scenarios.
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Experience building a design system from scratch.
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Documented cases of successfully leading end-to-end product experiments that delivered tangible business results.
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Prior experience in mentorship or team leadership, anticipating future team-building responsibilities.
π Enhancement Note: The "AI-First Mindset" is a critical and non-negotiable requirement, indicating a forward-thinking company that expects immediate application of AI in the design process. The emphasis on business impact and understanding product metrics is paramount.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 2-3 strong product design cases, demonstrating both excellent visual execution and measurable impact on business metrics.
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Clearly articulate the problem, your role, the process undertaken, the design solutions, and the quantifiable results (e.g., improvements in CR, engagement, retention).
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Highlight specific examples of how AI tools were integrated into your workflow to enhance efficiency or creativity.
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Include examples of your work with design systems, components, and tokens, demonstrating scalability and consistency. Process Documentation:
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For each case study, detail the hypothesis generation and user research phases.
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Explain the design and prototyping process, including any AI-assisted ideation or content generation.
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Describe the A/B testing methodology and the analysis of results, linking them back to business objectives.
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Illustrate how the design system was leveraged or how it contributed to the project's success.
π Enhancement Note: The portfolio is a critical component, and candidates are expected to present cases that explicitly demonstrate business impact and AI integration. Simply showing UI mockups will not suffice; evidence of problem-solving and metric improvement is key.
π΅ Compensation & Benefits
Salary Range: Given the experience level (2-5 years), location (Ukraine), and the hybrid nature of the role, a competitive salary range in Ukraine would typically fall between β΄60,000 - β΄120,000 per month (approximately $1,500 - $3,000 USD, subject to market fluctuations and individual experience). For Warsaw, Poland, the range might be higher, approximately 12,000 - 24,000 PLN per month ($3,000 - $6,000 USD). This estimate is based on industry benchmarks for Product Designers in Eastern Europe with these specific skill requirements, considering the company's tech focus and the specialized AI requirement.
Benefits:
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Hybrid Work Model: Option to work from a modern office in Kyiv or Warsaw, or remotely within Ukraine.
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Office Perks: Complimentary breakfasts, lunches, dedicated focus spaces (silent rooms), and walking paths.
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Professional Development: Access to internal training programs, workshops with top Ukrainian and international experts, and opportunities for continuous learning.
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Career Advancement: A culture that supports rapid growth, with frequent opportunities for promotion and leadership development.
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Relocation Assistance: Comprehensive relocation package for those moving to Kyiv or Warsaw, including financial support and realtor assistance.
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Generous Paid Time Off: 20 days of paid annual leave.
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Comprehensive Health & Wellness: Market-competitive compensation, medical insurance, paid sick leave, and a well-being program that includes compensation for psychologist sessions, yoga, and meditation.
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Work Arrangement: Flexible hybrid model, with flexibility for operations processes and data analysis.
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Legal/Tax Structure: Option to work as a private entrepreneur (FOP) or through Diia.City.
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War-Time Support: Commitment to employee safety and stability, with support for uninterrupted work and participation in Ukraine's recovery initiatives.
Working Hours: Standard full-time, approximately 40 hours per week, with flexibility to accommodate hybrid work and operational needs.
π Enhancement Note: The salary range is an estimation based on the provided location (Ukraine) and experience level, with a comparative range for Warsaw. The benefits package is extensive, highlighting the company's investment in employee well-being, development, and support, particularly in the current geopolitical context.
π― Team & Company Context
π’ Company Culture
Industry: Technology / Software / Sports Tech. Universe is a tech business that has been creating products for over 8 years, focusing on the sports and fitness sector.
Company Size: While not explicitly stated, the description suggests a growing, well-established tech company with ambitions for scaling design functions and potentially building teams, implying a size of at least 50-200 employees, and potentially larger given the mention of "millions of people worldwide."
Founded: Over 8 years ago, indicating a stable, experienced company with a proven track record in the market.
Team Structure:
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Cross-Functional Collaboration: Designers work as equal partners with product managers, growth specialists, and engineers, fostering a collaborative and integrated development environment.
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Growth-Oriented: The company emphasizes growth, retention, and monetization, suggesting that design is deeply integrated into these strategic initiatives.
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AI-First Emphasis: A strong cultural push towards integrating AI into all aspects of product development, including design.
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Ownership & Autonomy: Designers are expected to own their areas, bring hypotheses, and drive projects end-to-end.
Methodology:
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Data-Driven Decision Making: Emphasis on using metrics, A/B testing, and hypothesis validation to inform design choices and product iterations.
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Agile & Iterative Development: Balancing speed to market with design quality through iterative improvements and continuous experimentation.
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AI Integration: A proactive approach to adopting and leveraging AI tools across the product development lifecycle.
Company Website: https://uni.tech/
π Enhancement Note: Universe positions itself as an innovative tech company with a strong focus on product impact and user growth. The culture appears to be collaborative, data-driven, and forward-thinking, with a significant emphasis on AI.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-level Product Designer with significant ownership and potential for leadership. It's an opportunity to move beyond execution and into strategic product decision-making. The explicit mention of a path to "Product Design Lead" indicates a defined career trajectory within the company.
Reporting Structure: The designer will work closely with product and engineering teams. While a direct manager isn't specified, the role implies reporting into a Head of Product, Design Lead, or a senior product management role, with significant autonomy in daily tasks.
Operations Impact: The role is designed for high impact, directly influencing key business metrics like CR, CAC, LTV, and retention. The designer is expected to be a strategic partner, contributing to business strategy through design-led experimentation and optimization.
Growth Opportunities:
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Leadership Development: Clear pathway to becoming a Product Design Lead, including building and managing a design team.
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Skill Specialization: Opportunity to deepen expertise in growth design, AI-driven design workflows, and complex mobile/web UX.
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Cross-Functional Expertise: Gaining in-depth experience working with product, growth, and engineering teams on strategic initiatives.
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Continuous Learning: Access to internal and external training, mentorship from top experts, and exposure to cutting-edge AI tools and methodologies.
π Enhancement Note: The role offers a compelling growth path, particularly for designers aiming for leadership roles and strategic influence. The emphasis on AI and growth metrics provides a strong foundation for future career development in a rapidly evolving tech landscape.
π Work Environment
Office Type: Hybrid model with office options in Kyiv and Warsaw. The description of the office space ("ΡΠΏΡΠΉΡΠ΅") suggests a modern, well-equipped environment designed for comfort and productivity, including amenities like breakfast, lunch, walking paths, and silent rooms.
Office Location(s):
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Kyiv, Ukraine
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Warsaw, Poland Workspace Context:
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Collaborative Spaces: Designed to foster interaction and collaboration between cross-functional teams.
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Focus Zones: Dedicated areas like silent rooms cater to deep work and concentration, essential for design tasks.
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Technology Integration: While not explicitly detailed, the company's tech-forward approach implies access to modern design tools and infrastructure.
Work Schedule: Standard full-time hours (approx. 40 hours/week) with flexibility to accommodate the hybrid work model and project demands. The emphasis on autonomy suggests that while core hours are expected, there's room for personal schedule management.
π Enhancement Note: The hybrid model offers flexibility, combining the benefits of in-office collaboration with remote work options. The office environment is designed to support both focused work and team interaction, catering to the needs of product designers.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the company's AI-first and business-impact focus.
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Portfolio Presentation & Case Study Deep Dive: Candidates will likely be asked to present 1-2 key portfolio pieces, detailing their process, decision-making, the role of AI, and the impact on business metrics. Expect in-depth questions about hypothesis validation and A/B testing.
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Skills & Mindset Assessment: Interviews may include scenario-based questions to evaluate problem-solving, strategic thinking, collaboration style, and how you approach challenges with an AI-first and hypothesis-driven mindset.
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Team/Cultural Fit Interview: An opportunity to meet with potential team members (product, engineering) to assess cultural alignment and collaboration potential.
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Final Interview: Likely with a senior leader (e.g., Head of Product, CEO) to discuss overall fit, long-term vision, and potential for growth within the company.
Portfolio Review Tips:
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Focus on Impact: Clearly quantify the business impact of your design work. Use metrics like CR uplift, retention improvement, or CAC reduction.
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Showcase AI Integration: Detail specific instances where AI tools were used in your workflow and how they contributed to better outcomes or efficiency.
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Explain Your Process: Walk through your design thinking, from understanding the problem to delivering the solution, highlighting your strategic choices and rationale.
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Demonstrate Collaboration: If applicable, show how you worked with cross-functional teams.
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Tailor to the Role: Emphasize projects that align with web funnels, mobile UX, growth, and monetization.
Challenge Preparation:
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Be prepared for a design challenge or a take-home assignment that might simulate a real-world product problem, potentially involving AI integration or metric optimization.
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Practice articulating your design strategy and process concisely and persuasively.
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Be ready to discuss your thoughts on the future of AI in product design and how you see it evolving.
π Enhancement Note: The interview process will heavily scrutinize the candidate's ability to demonstrate tangible business impact and their practical application of AI in design. A well-curated portfolio that explicitly addresses these points is crucial.
π Tools & Technology Stack
Primary Tools:
- Figma: The core tool for UI/UX design, prototyping, and design system management.
Expertise in its advanced features like components, variants, design tokens, and collaboration features is essential.
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AI Design Tools: Proficiency with a range of AI tools is a must-have. This includes:
- Generative AI for Text: ChatGPT, Claude for copywriting, ideation, and content generation.
- Generative AI for Visuals: Midjourney, DALL-E, or similar for concept generation, illustrations, or asset creation.
- AI-Powered Design Platforms: Figma AI, v0, or other emerging tools for rapid prototyping, design generation, and workflow optimization.
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Prototyping Tools: Beyond Figma's capabilities, experience with tools like Principle, ProtoPie, or Adobe After Effects for advanced animations and interactions may be beneficial.
Analytics & Reporting:
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Web Analytics Tools: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or similar for understanding user behavior and tracking key metrics (CR, CAC, LTV, retention).
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A/B Testing Platforms: Experience with tools like Optimizely, VWO, or in-house A/B testing frameworks to design, run, and analyze experiments.
CRM & Automation:
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While not a direct responsibility, understanding how design impacts CRM data and marketing automation workflows (e.g., through web funnels) is valuable. Familiarity with common CRM platforms like Salesforce or HubSpot could be a plus.
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Integration Tools: Understanding how design outputs integrate into development workflows and potentially with marketing automation or customer data platforms.
π Enhancement Note: The technology stack emphasizes Figma as the primary design tool, but critically, it mandates proficiency with a suite of AI tools for various aspects of the design process. Familiarity with analytics and A/B testing platforms is also crucial for demonstrating metric impact.
π₯ Team Culture & Values
Operations Values:
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Impact-Driven: A core value is making a tangible impact on business metrics and user experience, not just completing tasks.
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AI-First Mindset: Embracing and actively leveraging AI as a tool for innovation, efficiency, and enhanced creativity in design.
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Data-Informed Decisions: Relying on data, metrics, and hypothesis testing to guide design choices and product strategy.
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Collaboration & Partnership: Treating product, engineering, and growth teams as equal partners in the product development process.
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Ownership & Proactivity: Encouraging individuals to take initiative, bring their own ideas, and own their areas of responsibility.
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Agility & Iteration: Valuing the ability to adapt, iterate quickly, and balance perfection with speed.
Collaboration Style:
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Cross-Functional Integration: Designers are expected to be deeply integrated with product, engineering, and growth teams, participating in discussions and decision-making from the outset.
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Hypothesis-Led Discussions: Meetings and discussions are likely to be driven by hypotheses and data, fostering a culture of evidence-based problem-solving.
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Open Feedback Culture: An environment where constructive feedback is shared and received to drive continuous improvement in both product and individual performance.
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Knowledge Sharing: Encouraging the sharing of learnings, best practices, and insights, especially regarding AI tools and design methodologies.
π Enhancement Note: The company culture is clearly defined around innovation (AI-first), impact (metrics-driven), and collaboration. Candidates who thrive in autonomous, data-informed, and cross-functional environments will be a strong fit.
β‘ Challenges & Growth Opportunities
Challenges:
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Balancing AI Integration and Design Quality: Effectively leveraging AI tools without compromising on the strategic thinking, user empathy, and aesthetic quality of designs.
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Quantifying Design Impact: Consistently demonstrating the direct link between design decisions and specific business metrics, especially in complex product ecosystems.
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Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI tools and methodologies and integrating them into a practical workflow.
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Owning End-to-End Experiments: Managing the full lifecycle of product experiments, from hypothesis formulation and design to A/B testing and analysis, can be demanding.
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Scaling Design Function: As the company grows, evolving the design system and potentially building out a design team will present new challenges in process, mentorship, and leadership.
Learning & Development Opportunities:
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AI Specialization: Deepen expertise in applying AI to various design disciplines (content, visuals, ideation, research).
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Growth Design Mastery: Develop advanced skills in designing for conversion, retention, and monetization through data-driven experimentation.
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Product Strategy & Leadership: Gain experience in strategic product decision-making and develop leadership capabilities with the potential to build a design team.
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Industry Exposure: Access to internal and external training, conferences, and mentorship from industry experts.
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Exposure to Scale: Working on products used by millions of people offers invaluable experience in designing for large-scale user bases.
π Enhancement Note: The role presents significant opportunities for professional growth in high-demand areas like AI-driven design and growth optimization. The challenges are framed as opportunities for learning and skill development, aligning with the company's developmental focus.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you used AI tools to significantly improve your design process or outcome. What was the impact?"
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"How do you approach designing for A/B testing? Walk us through an example where your design led to a successful test and quantifiable business improvement."
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"Imagine we want to increase user retention by 10% in our mobile app. What would be your first steps, and what hypotheses would you explore?"
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"How do you balance the need for a perfect design with the need to launch quickly and test hypotheses?"
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"What are your thoughts on the future of AI in product design, and how do you see it evolving in the next 1-2 years?" Company & Culture Questions:
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"What interests you most about Universe and our focus on sports tech and AI?"
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"How do you ensure your design work aligns with business objectives and impacts key metrics like CR and CAC?"
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"Describe your ideal collaboration dynamic with product managers and engineers."
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"How do you handle constructive criticism on your designs?" Portfolio Presentation Strategy:
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Structure: For each case study, clearly outline: Problem -> Your Role -> Process (including AI usage) -> Solution -> Results (metrics!).
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Quantify Everything: Use numbers to show impact. If exact numbers aren't available, use estimations with clear reasoning.
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Highlight AI: Explicitly point out where and how AI tools were used and why it was beneficial.
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Be Concise: Focus on the most impactful aspects of your work.
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Engage: Be prepared for follow-up questions and discussions about your choices.
π Enhancement Note: Interview preparation should heavily focus on demonstrating tangible business impact through design and showcasing practical, effective integration of AI tools. Candidates should be ready to articulate their strategic thinking and problem-solving approach in a data-informed manner.
π Application Steps
To apply for this Product Designer position:
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Submit your application through the provided link on Ashby.
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Portfolio Customization: Ensure your portfolio prominently features cases that highlight your impact on business metrics (CR, CAC, LTV, retention) and explicitly detail your use of AI tools in the design process. Tailor your case study selection to align with Universe's focus on web funnels and mobile UX.
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Resume Optimization: Update your resume to emphasize your experience with Figma, AI-first workflows, A/B testing, and your understanding of product metrics. Use keywords such as "Product Designer," "UX/UI," "Figma," "AI-First," "Growth Design," and "A/B Testing."
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Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to problem-solving, and how you see yourself contributing to Universe's AI-first and growth-oriented culture. Practice presenting your portfolio case studies, focusing on clear communication of process and impact.
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Company Research: Familiarize yourself with Universe's products and their market position. Understand their emphasis on sports tech and how they leverage technology to drive user engagement and business growth. Consider how your skills and experience can directly contribute to their goals.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires 2+ years of product design experience with a strong business mindset and proficiency in Figma and AI tools. Candidates must demonstrate a track record of using A/B testing and data-driven design to impact business metrics.